In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

This white paper by Run:AI (virtualization and acceleration layer for deep learning) addresses the challenges of expensive and limited compute resources and identifies solutions for optimization of resources, applying concepts from the world of virtualization, High-Performance Computing (HPC), and distributed computing to deep learning.

In this contributed article, Golnar Pooya, a partner with IBM Digital Strategy practice, and an advisor at 7 Gate Ventures, suggests that in light of the global pandemic, AI gives us an incredible chance to protect life and we must arm it with the information it needs to do so. This outbreak only confirms the position of technology as mankind’s most important tool in protecting global health.

This white paper by Run:AI (virtualization and acceleration layer for deep learning) addresses the challenges of expensive and limited compute resources and identifies solutions for optimization of resources, applying concepts from the world of virtualization, High-Performance Computing (HPC), and distributed computing to deep learning.

DataRobot, a leader in enterprise AI, announced it will provide the DataRobot enterprise AI platform free of charge to those interested in using it to help with the COVID-19 virus response effort. In collaboration with Amazon Web Services (AWS), DataRobot’s COVID-19 response program provides free access to DataRobot’s automated machine learning.

Today’s customer experience is practically unrecognizable from just a few years earlier. We’re able to cancel orders without ever speaking to a human, get essential supplies delivered to our door just by talking to a speaker, and get pitch-perfect recommendations wherever we go online. Not only has AI transformed the purchasing journey for the consumer, but on the brand side as well. The infographic below from Chattermill provides a few examples of the way AI is used in CX every day.

Nature Machine Intelligence published a joint paper from researchers at Intel Labs and Cornell University demonstrating the ability of Intel’s neuromorphic test chip, Loihi, to learn and recognize 10 hazardous chemicals, even in the presence of significant noise and occlusion. The work demonstrates how neuromorphic computing could be used to detect smells that are precursors to explosives, narcotics and more.

Talent departments are spending $250 billion on recruitment, interviewing and candidate assessment solutions. But as employers invest in these disparate technologies, they sacrifice efficiency and deliver a disconnected experience throughout the talent lifecycle. Enter the AI chatbot. Phenom, a leader in Talent Experience Management (TXM), is a single platform that individualizes the end-to-end talent journey for candidates, recruiters, employees and management.

In this installment of “AI Under the Hood” I introduce causaLens, a London-based deep tech company building a machine that predicts the global economy in real-time. The company’s Growth Analyst reached out to me on LinkedIn, and I liked what I learned from the materials I received.

Industry Perspectives

In this special guest feature, Sean McDermott, CEO and founder of Windward Consulting Group and RedMonocle, offers what enterprises need to know about the five levels of AIOps maturity. When maneuvering through each level, keep the long-term AIOps strategy and goals at the center to achieve the true potential of AIOps.

Latest Video

White Papers

This whitepaper from Imply Data Inc. introduces Apache Druid and explains why delivering real-time analytics on a data lake is so hard, approaches companies have taken to accelerate their data lakes, and how they leveraged the same technology to create end-to-end real-time analytics architectures.